Qwiet AI: Using AI and ML to Find and Fix Vulnerabilities in Application Code

An Intellyx Brain Candy Brief

Qwiet AI analyzes application code to find and identify fixes for security vulnerabilities before the code is deployed to production.    

They use AI and ML to weed out false positives and “reduce the noise,” helping customers focus on exploitable vulnerabilities. Deep learning models help identify vulnerabilities in Java and C# code.

Qwiet AI integrates with a CI/CD pipeline and offers static code testing, software composition analysis, container scanning, and secrets detection in the same scan. It uses pattern matching to weed out false positives. 

Qwiet AI also helps identify vulnerabilities in business logic, such as a fraudulent price change in a shopping cart or an unauthorized currency change.

The Qwiet toolset runs in the cloud and on prem.

Copyright © Intellyx LLC. Intellyx is an industry analysis and advisory firm focused on enterprise digital transformation. Covering every angle of enterprise IT from mainframes to artificial intelligence, our broad focus across technologies allows business executives and IT professionals to connect the dots among disruptive trends. None of the organizations mentioned in this article is an Intellyx customer. No AI was used to produce this article. To be considered for a Brain Candy article, email us at pr@intellyx.com.

 

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